|
|
Absolute deviation, 绝对离差$ t' z n, a6 @- s+ m7 ^
Absolute number, 绝对数" b4 ?5 e. G6 S8 {
Absolute residuals, 绝对残差5 _! c, n( p' @5 N1 y
Acceleration array, 加速度立体阵
3 ~6 S+ B0 K, D1 ]9 m, s# DAcceleration in an arbitrary direction, 任意方向上的加速度
+ n( ?1 @9 W1 q$ AAcceleration normal, 法向加速度! Y9 }) J% k9 v1 o* N
Acceleration space dimension, 加速度空间的维数# p+ S, m" P4 O; s6 d
Acceleration tangential, 切向加速度3 D8 F2 j) t& F/ U' u* b* K! c
Acceleration vector, 加速度向量) h$ a9 {# r3 r1 {- H i: g6 U( {
Acceptable hypothesis, 可接受假设% V/ h8 Y9 i5 i1 V) \
Accumulation, 累积
1 ~. j% I z; g/ F% vAccuracy, 准确度
. q4 o) v+ v! i# B4 V5 @% nActual frequency, 实际频数9 @2 n" A) _2 ^" L* N( ?
Adaptive estimator, 自适应估计量 S& [6 R7 A9 Q8 {0 d* `
Addition, 相加
/ @' T* Y% r3 C3 v; I4 zAddition theorem, 加法定理7 h% J+ @5 b- e6 B$ U
Additivity, 可加性
: i+ T- Y; {& |6 H* EAdjusted rate, 调整率4 e5 D7 U# P. h+ D1 J6 L
Adjusted value, 校正值
. g3 K g( j+ O9 U1 G H4 yAdmissible error, 容许误差
: b& _0 u* D+ ^- S# b( o( M: cAggregation, 聚集性9 B2 ]1 a$ |" L$ H' M
Alternative hypothesis, 备择假设
3 z9 B0 x5 D M" v$ l* v" i' [Among groups, 组间4 s X h- x/ b* _1 H6 V
Amounts, 总量- }/ [9 | [0 ^# G! G
Analysis of correlation, 相关分析9 {# G3 R2 r% p3 ]$ `/ A
Analysis of covariance, 协方差分析
/ l! a6 u2 _ }" h6 V9 Z1 e2 BAnalysis of regression, 回归分析& K! V1 L( a. C) H/ R. t2 |* ]- j' f
Analysis of time series, 时间序列分析2 m2 A. e5 c0 M6 t, P0 p
Analysis of variance, 方差分析
! h' E2 w6 f0 A7 P8 t. jAngular transformation, 角转换
$ b% g4 t! p: y- i8 L' c* @ANOVA （analysis of variance）, 方差分析2 K7 w+ M" ?* }/ z/ Q
ANOVA Models, 方差分析模型' K( ~# X9 }; Z6 o/ u+ n9 N+ A4 J" z
Arcing, 弧/弧旋
) B: y! B( d& pArcsine transformation, 反正弦变换
0 r, q6 G V: `; O# N9 s% dArea under the curve, 曲线面积
, I; O- i6 o. f; q$ R( bAREG , 评估从一个时间点到下一个时间点回归相关时的误差
* E- R! N2 H) x- G& zARIMA, 季节和非季节性单变量模型的极大似然估计 4 Z: }, h9 t0 k7 |: Q' I4 p
Arithmetic grid paper, 算术格纸
9 K/ Q) ?: S; h4 b: S- [1 mArithmetic mean, 算术平均数
+ i% k- Q8 ^+ ?, m8 Q, T T! I3 |9 ?Arrhenius relation, 艾恩尼斯关系
: G6 X* |5 _+ J2 }. P/ l% y+ M7 RAssessing fit, 拟合的评估
, ?0 i4 }1 ]$ @4 O2 ]Associative laws, 结合律" q% p. }: ^6 }& o& q
Asymmetric distribution, 非对称分布
& C" m0 y0 t* p4 M/ H6 ^+ D9 ~Asymptotic bias, 渐近偏倚
. e, N" X+ }3 q% B' J) ]Asymptotic efficiency, 渐近效率* w1 I1 Z G8 s* a; N7 A5 g
Asymptotic variance, 渐近方差
+ J" U$ V2 W( N0 [* s$ M) g. VAttributable risk, 归因危险度; [) {, q( ?9 E2 {' w3 b
Attribute data, 属性资料
( Z! G1 l) E V* Z4 s& _& tAttribution, 属性
6 q* i s/ J) u% k! N, Y+ LAutocorrelation, 自相关
+ w. S, E1 m- L6 O9 r8 _Autocorrelation of residuals, 残差的自相关
% o# t, \: j* X, y% t0 C1 S& SAverage, 平均数
5 @, h X( n8 J* h# Q- G6 U* qAverage confidence interval length, 平均置信区间长度
/ r7 c) o! Z; X/ Q+ |0 IAverage growth rate, 平均增长率
% A& q; J8 f% D0 l5 V: VBar chart, 条形图8 C; D: I( w4 Z
Bar graph, 条形图
: Z6 r( k0 {2 e/ p3 \1 Z/ p& Y1 ~% cBase period, 基期- u% t2 S4 k/ M9 w8 L
Bayes' theorem , Bayes定理$ U. d7 P4 @9 ]% w6 |
Bell-shaped curve, 钟形曲线
( |$ A3 |3 E) b. w: F: RBernoulli distribution, 伯努力分布. _% Q( e! C2 O
Best-trim estimator, 最好切尾估计量/ f# K9 q' l" H8 d3 e0 z1 E
Bias, 偏性
+ X& V+ A8 F; I( f( X' W5 M. n+ jBinary logistic regression, 二元逻辑斯蒂回归. _6 t9 G8 t, }5 b, U' C# c k+ ~
Binomial distribution, 二项分布
& @9 R3 J, u0 E9 o" |) VBisquare, 双平方
; \7 I+ k+ d$ m4 GBivariate Correlate, 二变量相关2 [0 e1 I! \* _7 S* \( w# S
Bivariate normal distribution, 双变量正态分布2 o% Z, Z, C3 }
Bivariate normal population, 双变量正态总体( D8 v- L: v$ i* R1 J( P
Biweight interval, 双权区间: i8 K C$ W; L2 E
Biweight M-estimator, 双权M估计量" i9 m' a$ ^' p2 ?% H3 X4 A
Block, 区组/配伍组
8 O3 J0 Z# A5 W+ O- G0 vBMDP(Biomedical computer programs), BMDP统计软件包+ t' K( Z8 ~1 j9 Z' |7 ], y* J
Boxplots, 箱线图/箱尾图6 H G% y" t" T) r" F. j
Breakdown bound, 崩溃界/崩溃点
' L# H# W; ]) k; ]% k+ K+ G/ a3 wCanonical correlation, 典型相关
3 t/ Z2 T3 p) P5 q: HCaption, 纵标目
. O, q T$ A8 x% L. R1 SCase-control study, 病例对照研究
9 S; j% U6 X# s$ d6 ~Categorical variable, 分类变量; w4 K4 v$ T+ q8 V6 [% }9 Z
Catenary, 悬链线
3 D- {6 l0 J0 L9 D( l7 @# i4 S, m7 DCauchy distribution, 柯西分布& \% [8 y- f k
Cause-and-effect relationship, 因果关系8 t8 q6 n* @ V" ~2 m
Cell, 单元
. d# E+ r& B7 Q& @9 x( |Censoring, 终检
. ]/ }- q, ]2 ^5 f0 l! V( xCenter of symmetry, 对称中心6 e. v' M, t# x
Centering and scaling, 中心化和定标
- J _! { I1 x6 Q( m8 h/ OCentral tendency, 集中趋势 z' q/ ^7 [% u/ p
Central value, 中心值6 D; l0 V% a7 a) [* w
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
/ S: g# I3 Q: @, G/ _6 O2 r( d+ WChance, 机遇/ K3 Z3 }% Z u' A) J% d9 Y
Chance error, 随机误差
" t! K( Y: i8 A: o4 CChance variable, 随机变量
. M3 T' K$ N; h- _1 a" qCharacteristic equation, 特征方程: b6 y) h, `/ _- _0 N! W7 S3 B
Characteristic root, 特征根# ^, m" Q; t4 x4 o% v
Characteristic vector, 特征向量$ F7 m5 o% n7 m! b, k
Chebshev criterion of fit, 拟合的切比雪夫准则8 i& c5 ~3 c5 r
Chernoff faces, 切尔诺夫脸谱图
' e7 v4 H! e0 [, O; V: c# FChi-square test, 卡方检验/χ2检验$ b: A' H0 Z4 z* j T
Choleskey decomposition, 乔洛斯基分解
. V8 |3 \( d2 a6 f# v, hCircle chart, 圆图
9 `$ m- K; G" q) k3 G* E% jClass interval, 组距; D" ]+ y8 y* B: u9 j
Class mid-value, 组中值" W K- T, `! e
Class upper limit, 组上限2 T$ C) ^% ]0 L; N" M( c7 z5 g/ f
Classified variable, 分类变量& [1 e) c; e3 f0 X/ V# n: O4 p
Cluster analysis, 聚类分析
1 }2 K8 O/ A# Q4 J mCluster sampling, 整群抽样
2 E) O8 o0 l) v5 J0 aCode, 代码5 r) h; w# v7 k
Coded data, 编码数据
, [7 [; h# a: ~7 m s+ C3 o# |# lCoding, 编码
" ~) f0 A( l0 DCoefficient of contingency, 列联系数
- z: \* _0 C9 \) HCoefficient of determination, 决定系数
! d, f/ p, d! K5 K+ Q& `Coefficient of multiple correlation, 多重相关系数( T1 o" ^, k C2 p3 U; V5 H# ~
Coefficient of partial correlation, 偏相关系数5 |8 W5 c j5 m
Coefficient of production-moment correlation, 积差相关系数1 f; t2 c$ w+ W+ H% a
Coefficient of rank correlation, 等级相关系数1 ^5 j# J, c8 d- F) V6 f. K. J/ g
Coefficient of regression, 回归系数- p& }) H( [( \* T7 ?. w
Coefficient of skewness, 偏度系数
) o4 C9 b0 y" ^% z6 z V& x+ P; H" T) @Coefficient of variation, 变异系数% K* f! L7 k& z! U1 o, `3 i
Cohort study, 队列研究6 i3 H$ q9 t( o1 F* K4 v
Column, 列1 d$ O/ _5 x, K/ ?. T( @
Column effect, 列效应
7 z9 z9 q8 h# d' E* cColumn factor, 列因素3 w& ?! [: t* M: |2 g% c
Combination pool, 合并
: T" K& J2 l5 J% y; r1 i% J: t* ?Combinative table, 组合表
, h) b; M, V& _$ K$ [Common factor, 共性因子3 Q) | b$ [' w4 N" G
Common regression coefficient, 公共回归系数
& |$ U ?8 [* Q4 S& b; lCommon value, 共同值6 X8 T' n) k" V) Z) H8 n \
Common variance, 公共方差8 l" j8 P9 I4 K5 }; |# K
Common variation, 公共变异8 J9 ]- w' U6 b6 Z4 @8 s/ D
Communality variance, 共性方差
; H/ n0 v0 B d( x0 j) cComparability, 可比性
- H# I4 J% P" p- T4 r* c, ^' z1 PComparison of bathes, 批比较% J* j2 ]4 E) W( F( D* A
Comparison value, 比较值
, P# y6 s. S' w! ICompartment model, 分部模型
: R, k; P; c3 S' ZCompassion, 伸缩
8 V; n" f0 C. B. g3 p2 a9 H3 P2 ?Complement of an event, 补事件% a* F- I# x( t; ~$ k
Complete association, 完全正相关
7 `1 z6 A2 b+ f' ?1 rComplete dissociation, 完全不相关
- V7 t, c$ a8 V- U' @Complete statistics, 完备统计量
7 N( c. g3 B7 M6 TCompletely randomized design, 完全随机化设计
3 K- g9 l. s" I1 pComposite event, 联合事件% W* G' L% L, C$ Y0 n( g L6 w
Composite events, 复合事件& F/ d" G& b7 N& |
Concavity, 凹性4 y$ A B; J {8 N9 H
Conditional expectation, 条件期望
" f$ J9 T5 R2 {! T& cConditional likelihood, 条件似然4 n2 R g* t" |8 ], c
Conditional probability, 条件概率7 |" w. Z* i+ l& ~* z
Conditionally linear, 依条件线性5 a6 [7 @( E) i5 L$ H s$ ~6 x+ m
Confidence interval, 置信区间
% G( F' E/ D+ i; n% E! o3 kConfidence limit, 置信限7 i2 t4 g5 r$ t( W) ]
Confidence lower limit, 置信下限
! S. x* C. E: |) ^: g$ y1 aConfidence upper limit, 置信上限
( D% K# N- O+ f2 B5 I: ZConfirmatory Factor Analysis , 验证性因子分析! D7 G4 C3 I! | U- y7 N& G
Confirmatory research, 证实性实验研究/ S+ M5 J( B3 @+ H
Confounding factor, 混杂因素
" ~6 r: |! o; b4 ~4 p8 e) n+ `Conjoint, 联合分析, m' |& U( l/ @& E+ S& L
Consistency, 相合性
$ G. R6 h# p" gConsistency check, 一致性检验
3 E {9 ]8 O( T/ z4 IConsistent asymptotically normal estimate, 相合渐近正态估计) G& H, y- p6 g3 u9 Z# T
Consistent estimate, 相合估计
4 C" U$ ~, _' qConstrained nonlinear regression, 受约束非线性回归
8 Y3 C0 v& E) S8 J6 k# mConstraint, 约束
6 V7 X+ q/ L5 {& }( `0 i. A* vContaminated distribution, 污染分布5 S' l n( @- a' a) [3 w3 b
Contaminated Gausssian, 污染高斯分布# ?* @6 f* f( V1 w; Y+ k
Contaminated normal distribution, 污染正态分布
" R- f/ O4 D8 h; [( aContamination, 污染6 D1 Q$ X. L8 b, Q4 f2 a! V
Contamination model, 污染模型
; G& ?4 `! q+ K6 \Contingency table, 列联表$ j. `7 V! t% u, u; s; W# I3 D
Contour, 边界线) f+ c4 q) {2 w2 c* S; ?
Contribution rate, 贡献率: P9 k3 ^6 m! V3 a7 ?- R0 L8 ?% R
Control, 对照
! X0 C; X7 t* I5 `! j0 E9 BControlled experiments, 对照实验& W0 a0 f+ ?% z$ \0 v
Conventional depth, 常规深度
/ p% s% b1 g) Z5 g+ H! UConvolution, 卷积
0 r$ I7 U9 S8 _, f, q3 eCorrected factor, 校正因子
0 o1 k) l/ w9 a/ M$ Y/ D( ]9 WCorrected mean, 校正均值
5 A& _2 l. M1 K/ ]5 Y: U1 \- \5 oCorrection coefficient, 校正系数
, R' G' F2 C% W6 B" ?( \0 J2 q# g2 }Correctness, 正确性, G* z3 U; @! t k
Correlation coefficient, 相关系数
3 b# K0 A$ Y: w1 u3 HCorrelation index, 相关指数
+ T7 C2 w( S; |9 k0 f7 e" SCorrespondence, 对应
3 d5 j" A$ l" ]) a4 ]" QCounting, 计数0 G- e9 b* G; U; R$ A/ E
Counts, 计数/频数
B$ A4 |/ a' ~* N$ N; ~% ^9 hCovariance, 协方差 ~/ E0 y3 \/ [* f$ }* V
Covariant, 共变
! x1 c( b! U7 g5 M$ M! HCox Regression, Cox回归
Y7 v( S4 E2 h# Y. a, A9 v: I8 `2 DCriteria for fitting, 拟合准则
* @* z& _( A$ PCriteria of least squares, 最小二乘准则9 R, m9 p6 @& b/ f3 O
Critical ratio, 临界比
9 Z" w+ N6 u4 Y2 }$ }Critical region, 拒绝域% b* c( c6 T7 C
Critical value, 临界值3 L8 y0 `/ i5 |3 G/ d
Cross-over design, 交叉设计4 j8 n: ^* f- T9 |7 w# c4 o
Cross-section analysis, 横断面分析9 N* |' F/ [3 I: S
Cross-section survey, 横断面调查
; ]: \7 }/ i$ X' \Crosstabs , 交叉表
, ?1 u! K9 m4 `5 VCross-tabulation table, 复合表' x; q" {$ L5 j& T' _5 r( L- J
Cube root, 立方根& q$ j9 n, l" W: i% D6 V' K' Y% o
Cumulative distribution function, 分布函数
3 t) U7 O8 r- C! P& aCumulative probability, 累计概率8 g8 H$ H K8 V1 ? I' q
Curvature, 曲率/弯曲3 w& Z& ?! D" A3 A! A3 E# Z
Curvature, 曲率) {+ @2 N6 p b' K3 j# m; g
Curve fit , 曲线拟和
9 V% ^5 ]0 \0 z! r( T5 {3 {5 x: UCurve fitting, 曲线拟合7 {1 ?; y( A) F/ d$ }& z
Curvilinear regression, 曲线回归, B2 K( L4 [+ u! b- h1 D; ~
Curvilinear relation, 曲线关系
) T0 z, w' M4 V7 L& SCut-and-try method, 尝试法
3 U& i9 u/ g9 s4 n! o: A5 `# }Cycle, 周期
n# }- F* y# ?4 nCyclist, 周期性
: f9 S$ X! P# g) VD test, D检验
; c, X/ ^8 C/ EData acquisition, 资料收集
8 @/ r/ {. v- s$ f% }1 M; iData bank, 数据库
# w( d8 F2 j1 j* k7 ~) |Data capacity, 数据容量
~3 P W' U4 x+ w/ R$ eData deficiencies, 数据缺乏% _! n! V; ?1 G( y& {3 ]8 }
Data handling, 数据处理/ m7 r7 m5 b/ R* P) ]# _7 q/ j
Data manipulation, 数据处理$ ?7 y$ r1 l4 I0 z2 h9 a
Data processing, 数据处理
( f4 F2 b" r/ M: c* Z: u, O% eData reduction, 数据缩减8 |* c4 V5 Z1 W& w( A* {4 a, D
Data set, 数据集' y# x- G% w+ |5 y j5 _6 i
Data sources, 数据来源
1 }8 R' T: e* [9 w. RData transformation, 数据变换
. Z+ t* `+ x. {. G h$ x3 M% N6 F" @! WData validity, 数据有效性/ v; C% _7 P |( V7 j" M
Data-in, 数据输入
1 e( I# k, a! P! DData-out, 数据输出
( }) H% m# R8 U2 E' A4 GDead time, 停滞期
# H! X3 @3 E0 v& @: r- s5 g% qDegree of freedom, 自由度
f! u a0 a: {0 s5 p& EDegree of precision, 精密度
; Y: c0 N+ d" ?Degree of reliability, 可靠性程度% V# J$ _) z% V
Degression, 递减7 }# ]( w/ e' O
Density function, 密度函数. p) a# j* _' U7 U, k) |& H: a
Density of data points, 数据点的密度
( v3 F* {8 j" z8 U6 U& UDependent variable, 应变量/依变量/因变量( [/ Z9 j7 d9 R+ t O) V0 L" e& f
Dependent variable, 因变量
5 T5 Y& Y& K- ~# [Depth, 深度
. o9 T5 z7 E* v- o! V7 K) ADerivative matrix, 导数矩阵
- X6 r6 B. X/ D. a2 @+ }" R$ _Derivative-free methods, 无导数方法
# N6 E& ? r& K5 m6 z- `Design, 设计: e. D: r( V: ]
Determinacy, 确定性. m# M: m9 T% p( z% U
Determinant, 行列式/ N- ]. H2 F+ [3 W- b
Determinant, 决定因素& `) e) z% X# i" ?& K
Deviation, 离差
( O6 r4 D4 M4 K8 K8 U0 }6 Y6 d' zDeviation from average, 离均差6 E! f& e1 P) o! }
Diagnostic plot, 诊断图+ |9 K7 @- w" W- V6 }$ L5 ^: H
Dichotomous variable, 二分变量
( n, `0 l! {' x) L8 c9 e8 ^+ [) Z1 hDifferential equation, 微分方程' K/ H* g: q0 d
Direct standardization, 直接标准化法
. J. o8 R+ H, Z$ w- N, `) wDiscrete variable, 离散型变量9 {# |9 x! t- F
DISCRIMINANT, 判断
$ {9 x$ ]* R# y8 u0 R( Y+ X, u. B0 mDiscriminant analysis, 判别分析# y. H' z3 d& Y7 @( Z/ V! | N2 ~
Discriminant coefficient, 判别系数
S: C) O" y: bDiscriminant function, 判别值
% N! ]+ }: o4 N" F9 F4 {+ e/ iDispersion, 散布/分散度. _' P" }, t/ B. {& [# x
Disproportional, 不成比例的
3 V1 |* B1 d/ gDisproportionate sub-class numbers, 不成比例次级组含量) ?4 u. G# [ n5 `! K
Distribution free, 分布无关性/免分布
8 d/ |$ U* u- w) C( Z b+ iDistribution shape, 分布形状( K# D- y# Y$ h( \8 @8 A
Distribution-free method, 任意分布法. z& c2 l& W% M
Distributive laws, 分配律1 \+ ]. p U1 |7 c% r% e- K5 d
Disturbance, 随机扰动项
t9 W; U- `7 i- kDose response curve, 剂量反应曲线
1 p. ^) a1 J" Z! P) Q/ i, a4 xDouble blind method, 双盲法
" c9 o# H' ~! U. YDouble blind trial, 双盲试验
, m6 e; t$ h0 q( |" Y. _2 B6 cDouble exponential distribution, 双指数分布
- i% n4 S9 n* [: a6 S$ I/ LDouble logarithmic, 双对数5 F4 T) s7 J; w% J$ y
Downward rank, 降秩- J/ U) j6 l6 M. X; G/ }4 @
Dual-space plot, 对偶空间图' q1 N {7 \- C4 Y
DUD, 无导数方法8 N% F T( q7 J) e
Duncan's new multiple range method, 新复极差法/Duncan新法
, V/ ]- b0 t- l/ `Effect, 实验效应* i. T! o1 \ w |- L/ l+ _7 t6 }
Eigenvalue, 特征值
7 m1 a+ c8 |) [# y2 k6 o+ `9 XEigenvector, 特征向量
+ o0 y! e q$ {; ?8 P. ]& ]) }Ellipse, 椭圆, M$ g4 z1 i% ~* j8 ~& G
Empirical distribution, 经验分布
?* b6 O6 ?0 i! l' t* Y$ NEmpirical probability, 经验概率单位
/ ?" _/ r! H! u1 W: JEnumeration data, 计数资料( t: ^! R# K8 D' c& c
Equal sun-class number, 相等次级组含量
, [, f1 ?* C7 ] t2 [Equally likely, 等可能
# Z2 d$ w. O- M. \; B- H- V8 ~1 [Equivariance, 同变性7 \4 F# F/ | w1 h
Error, 误差/错误
- [& T1 C! Q* N6 c4 w8 ^7 BError of estimate, 估计误差" t. i. Y5 M. r/ E: R7 A
Error type I, 第一类错误% q1 y7 g ?" e9 S& d
Error type II, 第二类错误
4 Y3 \/ [/ B1 x4 c1 mEstimand, 被估量1 M7 \7 L7 O- B
Estimated error mean squares, 估计误差均方
- P1 T/ K$ k4 QEstimated error sum of squares, 估计误差平方和
& Y& N+ n* T/ y5 z- Y2 fEuclidean distance, 欧式距离
$ A9 B) `% Q3 X$ kEvent, 事件
. }9 x( b! w" A" i/ c! a2 fEvent, 事件 P6 x+ M6 U$ U/ B5 t
Exceptional data point, 异常数据点* \9 f3 |4 ?6 X- w% Y# l; r
Expectation plane, 期望平面
7 x9 A; R, `/ z; tExpectation surface, 期望曲面5 k) s7 {- `5 c: b1 D! z$ I
Expected values, 期望值
; t+ `. G6 N6 U! {* j( X8 {Experiment, 实验3 C/ J" R: {3 c4 }3 ]
Experimental sampling, 试验抽样
4 r+ d. c- W7 W! f9 X0 h: \+ [Experimental unit, 试验单位* ]1 D8 j7 V: S3 K ~; U
Explanatory variable, 说明变量
, w7 R+ V$ R' SExploratory data analysis, 探索性数据分析7 n: ^6 t, q p, `/ u1 J# h# e) [0 T
Explore Summarize, 探索-摘要4 H+ ?- a+ d8 O$ K: E
Exponential curve, 指数曲线
8 D! _& \' h: k9 G2 H# sExponential growth, 指数式增长7 c# q5 h4 ~2 p" f6 ?$ ~
EXSMOOTH, 指数平滑方法
* m7 d$ L" q) v, K% sExtended fit, 扩充拟合
6 f" h% F i2 C' H+ ?$ E9 ]Extra parameter, 附加参数+ w! L1 W1 n- r, i8 c& {; K: l
Extrapolation, 外推法
+ `: [. t7 n* NExtreme observation, 末端观测值
% S5 s7 T- ^: p9 j" oExtremes, 极端值/极值
( t* \6 E, U4 P/ q4 oF distribution, F分布( y& M+ w6 i- r4 x( @
F test, F检验9 {# U5 X6 B9 ?$ o$ G3 Q( @& B
Factor, 因素/因子
+ n' N& Z- V; PFactor analysis, 因子分析
/ ^9 M! P# R% E6 z) {Factor Analysis, 因子分析
$ P9 M% b# D8 f' G! ^ I* v) Z% ^Factor score, 因子得分
% R& @* f8 V# G# K1 nFactorial, 阶乘
# \4 `- o% L4 G- [Factorial design, 析因试验设计# i4 ]: d8 r# r9 M+ i9 y$ _1 y- [
False negative, 假阴性9 P- p9 q# U0 g6 w
False negative error, 假阴性错误
2 e" Z8 _! H p9 GFamily of distributions, 分布族) u9 W6 {! G9 y3 `
Family of estimators, 估计量族
& w) E: P6 |; EFanning, 扇面
3 U% D* X1 @9 H2 n; D3 JFatality rate, 病死率
& r S( b" E' g% M6 ~Field investigation, 现场调查
" W1 K5 `; ?4 E5 e1 fField survey, 现场调查
) Q6 I l* |0 M) @) L$ yFinite population, 有限总体- g0 Q' A: [+ e; G V) ]
Finite-sample, 有限样本: }# x" |6 G% y2 l: a) j
First derivative, 一阶导数
1 R2 p, ~. V6 m( ^; }9 v9 ]% {First principal component, 第一主成分
. j) `5 `0 C+ _2 t; J! F9 y7 jFirst quartile, 第一四分位数3 k+ S3 z; r: v* y: G2 u3 S* I7 R- ]
Fisher information, 费雪信息量
: i9 T& z9 ^9 i" [' }- f! _Fitted value, 拟合值6 d% G; T0 r8 l, l
Fitting a curve, 曲线拟合. v8 d1 S h, t3 q
Fixed base, 定基, R0 j! D) ?0 l. i0 B- G
Fluctuation, 随机起伏+ m3 N9 G/ ]$ P k' r
Forecast, 预测1 D- ~. K; ], l
Four fold table, 四格表
1 i- ^8 E) N, e2 {Fourth, 四分点
5 z7 Q" b& G6 y# S& lFraction blow, 左侧比率1 l+ R# f% N& i- l$ }1 a9 ^
Fractional error, 相对误差# _; ]: R2 _) G- q
Frequency, 频率
9 H3 ^# E* h$ D8 i. z% { E0 i3 `Frequency polygon, 频数多边图! J* }4 G. ^# Q$ s9 G
Frontier point, 界限点6 A( r! h: U7 V5 |: W
Function relationship, 泛函关系" Q$ {! d2 m2 l R& [
Gamma distribution, 伽玛分布
5 ?* {, l0 o# ~" d* ^6 I$ ~" [- FGauss increment, 高斯增量; v$ m$ U! }3 n$ H8 C9 k
Gaussian distribution, 高斯分布/正态分布, ]4 g! f' x) O' ]0 K
Gauss-Newton increment, 高斯-牛顿增量
5 X# k0 e/ C+ S( e% k6 K5 FGeneral census, 全面普查
& K/ P4 C/ [) ^4 KGENLOG (Generalized liner models), 广义线性模型 / I' j' ?8 j6 p# V \( E6 O2 j
Geometric mean, 几何平均数
1 g; s- P n: m! X/ h% rGini's mean difference, 基尼均差( U) `7 { ~6 ~! E& b( j
GLM (General liner models), 一般线性模型 5 k+ [. B" S+ @1 r: V( ^) e
Goodness of fit, 拟和优度/配合度# @3 ^" i( {2 _# U. @
Gradient of determinant, 行列式的梯度
$ l8 V+ W; g2 N! PGraeco-Latin square, 希腊拉丁方2 q! g. M3 t% L' l* \
Grand mean, 总均值
6 Q' o) Z* z' b- _/ BGross errors, 重大错误
. x% i- X& m. a, OGross-error sensitivity, 大错敏感度
2 y+ r+ m* F$ {/ SGroup averages, 分组平均
) ^0 o ~/ P* @. KGrouped data, 分组资料
0 W! `* X3 ~! x! N# h8 a8 p1 y" CGuessed mean, 假定平均数4 e. P2 w4 D' d( P1 u
Half-life, 半衰期
1 K; E' b# A. M2 m# a% @$ JHampel M-estimators, 汉佩尔M估计量+ \- p& K! k$ n( S5 ` w
Happenstance, 偶然事件
" m8 o# y+ Y/ |. e: Y" g4 Z7 ZHarmonic mean, 调和均数
d9 T. t0 {2 ^/ R! k7 d4 ?8 mHazard function, 风险均数
- f) p# z+ f/ s6 R3 p% [9 wHazard rate, 风险率% A' M {3 ]7 _1 b
Heading, 标目 4 w- ]2 |* F Q
Heavy-tailed distribution, 重尾分布
7 b- v/ A- A0 tHessian array, 海森立体阵8 B6 I$ r9 i5 u# n8 D5 r) G
Heterogeneity, 不同质$ I9 ]# K& v# A2 ~
Heterogeneity of variance, 方差不齐 3 A: w: [+ S% d+ I
Hierarchical classification, 组内分组
- i% e" U( V8 a6 _! C) h6 t9 QHierarchical clustering method, 系统聚类法
" D) N# t7 }6 s4 \1 Y7 CHigh-leverage point, 高杠杆率点
+ J4 e f) n! [; n" k$ Z+ t- ]HILOGLINEAR, 多维列联表的层次对数线性模型
/ L9 T* {4 }# o; V, h( CHinge, 折叶点
+ h3 g1 W/ h) zHistogram, 直方图
/ ]3 Q6 L; c! _1 e4 f3 EHistorical cohort study, 历史性队列研究 9 ?" |, H- y P
Holes, 空洞
; _4 l, y9 ]' S: R1 h- `8 p/ l% gHOMALS, 多重响应分析
" V9 X" z9 ~' }" fHomogeneity of variance, 方差齐性
: C7 m3 `$ V i$ l/ bHomogeneity test, 齐性检验
& L- u/ Q+ t9 K7 i4 O ~) ~Huber M-estimators, 休伯M估计量
/ V3 R4 v5 E) M, i, mHyperbola, 双曲线
1 E4 y$ p2 S9 a4 x. F3 ^ o% Z# r9 SHypothesis testing, 假设检验
5 Z' t4 T. B1 H& YHypothetical universe, 假设总体/ o( c' g3 b3 U8 d
Impossible event, 不可能事件
" B3 R8 y( |+ w' \2 ]% G) `& C- `! RIndependence, 独立性
2 T6 b; V' O% p! @3 T, g& ]- ^Independent variable, 自变量" K* a2 i) n2 k) o9 U, ^
Index, 指标/指数
# ], \* I5 a& YIndirect standardization, 间接标准化法- S2 Z2 J7 l0 x4 h6 v
Individual, 个体
: J1 e9 m1 p1 r) S; P8 z rInference band, 推断带
( e7 G% N6 X; b+ A) {! ~Infinite population, 无限总体
# ~- `! |: t/ x# |) ^! WInfinitely great, 无穷大2 I2 n/ H: ~1 ~+ S8 A8 W
Infinitely small, 无穷小
" T# J; X6 I% UInfluence curve, 影响曲线8 z% T7 ~$ N0 J8 b1 m0 k
Information capacity, 信息容量: u# k5 X2 k9 Z3 [) R
Initial condition, 初始条件% T( C R8 k4 Y: [4 p; q
Initial estimate, 初始估计值- S+ u& }8 i; v, S( r/ X ^& o: U0 T
Initial level, 最初水平. |! W0 B9 Q2 V! _* n
Interaction, 交互作用( ?( w {2 M' x; Z7 _
Interaction terms, 交互作用项& W0 d; U# O: k0 \
Intercept, 截距
% n; @; M4 p3 e6 H6 ?+ `2 l' sInterpolation, 内插法
# ~0 N9 U% m w; L4 j, ~( FInterquartile range, 四分位距
& v. L, ?! B& S% c8 n2 sInterval estimation, 区间估计
) \8 x2 f7 M4 dIntervals of equal probability, 等概率区间
# g- h3 s; A* y$ ?1 oIntrinsic curvature, 固有曲率# a8 D1 K) F6 F$ s/ d; e! a7 H* o
Invariance, 不变性
% g. Z$ c+ ~$ o6 [Inverse matrix, 逆矩阵
* U" x, c. b. z+ i. I5 Y6 ?Inverse probability, 逆概率 j& [4 C5 O( [# z% e
Inverse sine transformation, 反正弦变换- q0 g; g/ P9 Q8 ^: T, F9 {# \
Iteration, 迭代
( C9 m7 w/ r. J# SJacobian determinant, 雅可比行列式
( u0 { j" M) m1 O+ w7 Y6 wJoint distribution function, 分布函数" ^0 e% @0 a( t6 `- J6 X2 c
Joint probability, 联合概率
. v: x% R5 w, H4 k8 @Joint probability distribution, 联合概率分布
9 J0 E3 o' c9 [. j- N% [K means method, 逐步聚类法
$ g% A" D% v0 V; S4 h9 G0 rKaplan-Meier, 评估事件的时间长度
. Q( d. P# {0 U V7 C$ bKaplan-Merier chart, Kaplan-Merier图
, ?; ?, F Q. d+ }% w4 }Kendall's rank correlation, Kendall等级相关
, b5 i0 r7 r/ A5 q* vKinetic, 动力学$ |; k/ V: _- O+ [0 P7 P
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验- K, F |0 P9 N B
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验$ W, Z1 h4 {: |. G* x6 o/ v
Kurtosis, 峰度
# w. X) V. p8 k# H; u: `; n/ p2 t. NLack of fit, 失拟
6 e( S1 f% u) KLadder of powers, 幂阶梯
( ?5 n% |- s6 q$ jLag, 滞后3 o6 ]% J3 V, h* v* W3 }
Large sample, 大样本4 Z1 G9 d- t( U; F8 c/ e
Large sample test, 大样本检验
8 `' N2 {4 U. ^6 U3 e% c7 wLatin square, 拉丁方3 O1 k+ U) l/ k+ D( @2 R& A/ |' F
Latin square design, 拉丁方设计- P j8 A5 b5 J3 S! L# R9 c3 P1 x
Leakage, 泄漏+ b; t- o, k: m. s# E( P
Least favorable configuration, 最不利构形
3 f' a$ s e) X' }* a4 JLeast favorable distribution, 最不利分布
5 v' @7 u7 u0 aLeast significant difference, 最小显著差法+ z# x8 |: j, M8 ^
Least square method, 最小二乘法) V. g# T) g; T' A1 N
Least-absolute-residuals estimates, 最小绝对残差估计2 `8 f) m0 R. ?( Z9 K* Y. u
Least-absolute-residuals fit, 最小绝对残差拟合; M( k' \7 o$ h9 @+ q
Least-absolute-residuals line, 最小绝对残差线( k* B/ M* \& i7 F6 ?
Legend, 图例
) r$ [2 a8 p# p2 ]7 uL-estimator, L估计量& W- }3 t, S% U
L-estimator of location, 位置L估计量5 M% S4 n/ B5 }) I- @
L-estimator of scale, 尺度L估计量 p' O' y, Y0 c v- e
Level, 水平- [! o. v, N1 Q0 n" E( V' U6 q8 H
Life expectance, 预期期望寿命
4 `) g& h9 c" ]0 ?, gLife table, 寿命表
+ B- T* t7 r- v; ~- G! w# RLife table method, 生命表法$ W4 L- U' O' e+ _2 _0 Q
Light-tailed distribution, 轻尾分布
; R7 T* m T2 U8 F9 TLikelihood function, 似然函数( b7 h% L3 k' o! x0 _- V
Likelihood ratio, 似然比
& c( I% C* r! J; ~% }' k! lline graph, 线图
0 _: Z# K8 P, v% D, P/ A. iLinear correlation, 直线相关: O6 r- S/ v( ]- g2 C
Linear equation, 线性方程
6 L' I* C5 [6 X1 U+ q' s- ^7 K5 `Linear programming, 线性规划% B) u: b6 S3 O, t" I5 h9 e/ R3 R
Linear regression, 直线回归
" j/ v H8 _" X3 [. _Linear Regression, 线性回归
; z* ~4 X, i7 CLinear trend, 线性趋势
6 Y" g' U5 G( Q* X8 {8 RLoading, 载荷
1 q' B( L5 O6 C/ @( x) Y) d/ D9 Z4 NLocation and scale equivariance, 位置尺度同变性. m: F5 f- b2 B7 K* @+ Z# }8 m
Location equivariance, 位置同变性! |0 z1 t c# V* M& b" d! B' _8 d
Location invariance, 位置不变性2 e" G& P; R/ d8 Y+ u( K+ j$ Q
Location scale family, 位置尺度族
7 X0 r/ C$ H, Y0 lLog rank test, 时序检验
( F4 \+ r8 u1 l, w oLogarithmic curve, 对数曲线
0 }" L/ m* P, `$ f3 FLogarithmic normal distribution, 对数正态分布
8 ]+ \ f+ Q5 P+ [Logarithmic scale, 对数尺度
9 K r- Q# f* ?' K" g, p, VLogarithmic transformation, 对数变换
* m5 E, j# c* WLogic check, 逻辑检查% B# m' _& O% U9 B; B2 [
Logistic distribution, 逻辑斯特分布
~. `! x7 a& m8 y2 l! wLogit transformation, Logit转换* p" g5 o9 d$ V1 q
LOGLINEAR, 多维列联表通用模型
7 j+ X" b2 i1 R. k, B0 \, VLognormal distribution, 对数正态分布; i" z0 {& ]( \/ C7 T$ C- o
Lost function, 损失函数4 @$ ~1 t* O3 q1 Y& U
Low correlation, 低度相关8 }. l* u. \; U9 n8 ?
Lower limit, 下限
$ l: Q7 x8 N0 @' h8 x) ILowest-attained variance, 最小可达方差! A" J% q( }) M k
LSD, 最小显著差法的简称/ o, D1 o4 c' P, b7 b& f
Lurking variable, 潜在变量
2 M( `; s8 {# N1 K# K# `6 kMain effect, 主效应- k2 r6 w! L( M0 l9 m
Major heading, 主辞标目* l5 q7 q$ ?9 R
Marginal density function, 边缘密度函数
/ J# [; R& j! p! T7 a9 m6 q7 C+ O* X% IMarginal probability, 边缘概率4 }5 _# a7 J5 q) s
Marginal probability distribution, 边缘概率分布
7 L: s: g# q9 {; `3 O1 hMatched data, 配对资料
7 w# ~2 w' ~: }: O$ Z* w* {Matched distribution, 匹配过分布
5 R* S5 D+ D7 ^( U" Y4 T$ TMatching of distribution, 分布的匹配8 [- n! k7 r) ?2 H
Matching of transformation, 变换的匹配
}: q1 _; r' O, X7 ^Mathematical expectation, 数学期望
& C, I0 _2 G5 r" \Mathematical model, 数学模型
4 h8 u1 T0 T) d3 e( y/ l" F# ^' TMaximum L-estimator, 极大极小L 估计量+ ?9 B. _' c! M7 S# _/ Q, G, b( `8 G
Maximum likelihood method, 最大似然法
3 Z1 y9 ]1 L& n4 l0 lMean, 均数3 X! x, f) `0 P. }" s* l: P* J
Mean squares between groups, 组间均方6 o' A4 `2 j; v& f5 U
Mean squares within group, 组内均方
$ D$ |( H; [# h" M6 F/ D/ QMeans (Compare means), 均值-均值比较
0 u& _( y. @2 u' |2 } k3 aMedian, 中位数4 j* u) b8 O4 \
Median effective dose, 半数效量" e0 f) s+ P) r, z
Median lethal dose, 半数致死量: ?3 [; ?- h1 b% C
Median polish, 中位数平滑) C3 a* J6 r% x) d* d
Median test, 中位数检验( b" ^& O& K; a( [
Minimal sufficient statistic, 最小充分统计量% g/ W, F; M& N% l) T$ k! Q( C
Minimum distance estimation, 最小距离估计
9 v" i6 U0 w+ p4 ? f# }Minimum effective dose, 最小有效量' O; y1 x8 ?8 W; u$ @3 ~
Minimum lethal dose, 最小致死量- J. N, g3 c6 t; y* L3 P
Minimum variance estimator, 最小方差估计量
_% H+ q* |7 KMINITAB, 统计软件包
0 N) M! |! D; ?# N* O4 b2 HMinor heading, 宾词标目. c( g+ P8 z4 {
Missing data, 缺失值
1 ]) E4 O3 G# K5 [/ C* O+ ~. u6 p6 H/ tModel specification, 模型的确定
% }4 q V4 K' \' S8 DModeling Statistics , 模型统计. J5 K' c- t6 S
Models for outliers, 离群值模型( _6 W) Y0 I& X$ b2 F: X- \ c' l
Modifying the model, 模型的修正+ |( V" w/ v" B: k- f
Modulus of continuity, 连续性模. V: D5 R* d6 J2 G" O
Morbidity, 发病率 ' d9 T+ l. {' ~: f( V7 s
Most favorable configuration, 最有利构形( M8 i$ P0 I6 y, u8 o
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
0 k2 b% p c$ ^- OMultinomial Logistic Regression , 多项逻辑斯蒂回归/ [5 K/ g% G9 F
Multiple comparison, 多重比较$ x6 _1 ~2 @/ ]9 ^: ^( H( }5 Z
Multiple correlation , 复相关, D( ^( l1 ]/ ] I2 s' i) B
Multiple covariance, 多元协方差/ B" x0 w7 y* v4 p/ Q
Multiple linear regression, 多元线性回归
& s# x0 U, G* A9 QMultiple response , 多重选项
0 r4 `) N: N; N& ~7 ^4 p7 tMultiple solutions, 多解$ I5 }5 s1 N j! L
Multiplication theorem, 乘法定理
# o2 Y% f* m+ jMultiresponse, 多元响应' h: n# @2 v5 I& i. o9 k
Multi-stage sampling, 多阶段抽样- v* D- R/ Y( L
Multivariate T distribution, 多元T分布6 R+ @4 O' T" \; _, m
Mutual exclusive, 互不相容
# Q: R7 d6 i E- Y" W7 FMutual independence, 互相独立
. O, H6 e* R& N9 xNatural boundary, 自然边界
( q5 `% v' f! r$ e/ wNatural dead, 自然死亡4 T3 K; v7 K! [+ k& X
Natural zero, 自然零
" U7 |! o: x5 c2 nNegative correlation, 负相关" z, z0 X$ J3 O
Negative linear correlation, 负线性相关$ w* u. e& N0 E/ q; z
Negatively skewed, 负偏
! E: e6 U k9 R" o9 k0 ?- T- gNewman-Keuls method, q检验
" N/ d; `! F& V( hNK method, q检验( Z( I/ v" h4 S3 D; }" Y, l+ K
No statistical significance, 无统计意义
: Y) T0 L" \4 P% w j& nNominal variable, 名义变量
' \- I" x8 O6 E( \, gNonconstancy of variability, 变异的非定常性# c# q8 k; ~9 O. C/ K
Nonlinear regression, 非线性相关4 F: h: a& D/ i! E' b& i2 b
Nonparametric statistics, 非参数统计
7 e3 z" y4 v( j, P5 Q, A: lNonparametric test, 非参数检验
$ p& {; D& R0 |Nonparametric tests, 非参数检验% v, f" ?2 `7 b: a7 A7 M/ ?
Normal deviate, 正态离差 ~* e2 \) b) f- q. y% R
Normal distribution, 正态分布! ]5 F0 S; P- v( l. F+ g
Normal equation, 正规方程组+ q( A- w$ P0 s
Normal ranges, 正常范围
' N: U( l4 b9 H. J+ ?9 q( rNormal value, 正常值5 D7 X* B; P' @" o
Nuisance parameter, 多余参数/讨厌参数# v& K$ M2 U! ]
Null hypothesis, 无效假设
( v; q, x: E: L0 |+ kNumerical variable, 数值变量
6 a, X V2 g9 Q0 K0 uObjective function, 目标函数
2 P3 ]! v/ e; j% u9 ?. j2 a8 z; CObservation unit, 观察单位
2 M% v! d& E: S- l; HObserved value, 观察值) G/ I0 F7 [& V. H
One sided test, 单侧检验) W; B; q% P0 i, e
One-way analysis of variance, 单因素方差分析
3 ~$ B* X7 N( F6 Q3 m" kOneway ANOVA , 单因素方差分析
+ {" n/ {: D+ L# I8 h, ?Open sequential trial, 开放型序贯设计
9 l% ~# `" s5 {* ?5 n6 S: `7 r9 lOptrim, 优切尾/ a) g6 s" w2 b, L+ E0 H/ Z* T* A
Optrim efficiency, 优切尾效率% ~3 E% L2 K3 n
Order statistics, 顺序统计量' G( i l2 e4 z
Ordered categories, 有序分类' _7 v Q) T& y' F+ f
Ordinal logistic regression , 序数逻辑斯蒂回归
7 J5 m8 K( g" j0 o: K y. @0 hOrdinal variable, 有序变量
* Q* S* S: \9 L8 @- d: q, e$ aOrthogonal basis, 正交基& \1 c; r! s, u
Orthogonal design, 正交试验设计
8 h) _/ w K6 f( T5 tOrthogonality conditions, 正交条件( D" f: j- f! V
ORTHOPLAN, 正交设计
- ]) x# F' e+ S& d8 s( c% }) Y* N; ROutlier cutoffs, 离群值截断点* R4 E& n4 n$ r$ ]4 Q4 {; L. k
Outliers, 极端值
" O& f0 E) i/ T; Q& @6 ?1 LOVERALS , 多组变量的非线性正规相关 $ h# ^& g% R& `5 @. ?7 Q
Overshoot, 迭代过度
E+ d3 n/ L! \& \Paired design, 配对设计
9 A. |4 w9 h4 l6 K2 [Paired sample, 配对样本
/ o& K% n% ]! f+ U8 @4 T' DPairwise slopes, 成对斜率
: O9 _( c1 s; a' f( }; PParabola, 抛物线
- J" s4 U4 |# \1 H$ [Parallel tests, 平行试验3 b; j# L0 a7 v7 ^/ w& A
Parameter, 参数% ^4 O( I# ?! b7 N/ k) f' i. |
Parametric statistics, 参数统计4 c9 [7 x3 N$ c% {1 a$ E, s$ e: G
Parametric test, 参数检验( K' ^+ E! _. J' z$ F5 f
Partial correlation, 偏相关- F+ }/ k0 o) _& D
Partial regression, 偏回归9 W; d8 `6 J U3 ]6 F' y: ?3 S
Partial sorting, 偏排序
# P. g) }! s) q nPartials residuals, 偏残差
7 D# B" c) R8 C* lPattern, 模式
- f7 J9 {3 {& c) u% J% g8 j% H* GPearson curves, 皮尔逊曲线
0 V% c9 v0 d" ~, FPeeling, 退层
' z1 ^- M1 m1 rPercent bar graph, 百分条形图
1 @% D# q; a' j& P# ~Percentage, 百分比
* D4 |- Y' v) G0 _Percentile, 百分位数7 _1 m2 l& P9 f1 z; J" ?
Percentile curves, 百分位曲线, i1 n8 E* L+ J7 D
Periodicity, 周期性/ c" v" o+ h3 u5 W7 m
Permutation, 排列
. J0 m( T. x: F5 h. R3 L& dP-estimator, P估计量
7 w( O# r4 T* X/ y3 V2 zPie graph, 饼图
+ a% G# i" M( x" t. ?* E& lPitman estimator, 皮特曼估计量" o) r0 a2 S& ]" m
Pivot, 枢轴量4 V! X$ ]* N+ r' `4 a* c8 z0 P
Planar, 平坦
3 [+ V1 q, v- A, I0 t1 cPlanar assumption, 平面的假设" V+ k$ I/ ^6 d. n4 B5 o" _* n6 y- M- j+ C
PLANCARDS, 生成试验的计划卡# a) K9 T8 }* \7 g& a u
Point estimation, 点估计
" V8 b' o" O* p# E- `) L% rPoisson distribution, 泊松分布5 t( Z: q; W9 Z# Q8 j; c* ]* W
Polishing, 平滑$ P. }- m0 ^* A) B; ]
Polled standard deviation, 合并标准差- x& \+ `, E! {
Polled variance, 合并方差' \: F9 L& h/ _, Q# V
Polygon, 多边图( R1 o' [! ~0 ?: }; k3 B5 Y
Polynomial, 多项式% {1 m" b7 T" N+ S: _, R: B6 y
Polynomial curve, 多项式曲线% q; e8 c% r# T' [3 D0 x1 r6 i
Population, 总体
}% n* _4 `$ f. {Population attributable risk, 人群归因危险度
/ m: y& U4 k( I- ZPositive correlation, 正相关1 [+ o( F) w" d, q; K H& W
Positively skewed, 正偏' Q6 p, c( b, X3 w( N$ y$ M
Posterior distribution, 后验分布
: [ h% \" T7 O& g4 {+ B* TPower of a test, 检验效能
% ?- M. x. _1 g/ _! R& B( LPrecision, 精密度4 \' @$ S4 Q& g# r% U- S8 c
Predicted value, 预测值- W% ]8 D) j( q1 t$ U
Preliminary analysis, 预备性分析1 J7 u) R$ y; q$ h/ m
Principal component analysis, 主成分分析
. K& n2 d* ~+ h0 |: o1 SPrior distribution, 先验分布( A# y9 `3 x# m( b8 n- W
Prior probability, 先验概率
5 R- f# J. K# k' e8 E/ l1 CProbabilistic model, 概率模型
. g. Y/ r7 H2 ~" ^) `$ lprobability, 概率( K( I8 e, Z, E6 O
Probability density, 概率密度. ^* z' D( K" ]1 k. `% K4 L
Product moment, 乘积矩/协方差( W) a* O( m. k. {1 |) l
Profile trace, 截面迹图; f/ T& [- K. j3 r. u. ?. C
Proportion, 比/构成比; d1 ^: a/ c) z" b% g5 v# e
Proportion allocation in stratified random sampling, 按比例分层随机抽样
( m5 ]3 U6 @9 {Proportionate, 成比例
( O' E; ~# a: k7 ^/ BProportionate sub-class numbers, 成比例次级组含量4 N3 h4 ^0 E, w h. Z( ~, Y
Prospective study, 前瞻性调查0 |! p7 u L, f8 G
Proximities, 亲近性
: J. k3 q) a- l/ |6 I, S8 FPseudo F test, 近似F检验
# P3 l- [: k* G, XPseudo model, 近似模型8 y7 E9 n; `0 h2 e6 O! n2 t
Pseudosigma, 伪标准差+ k3 b! ^, y, ?+ `3 G8 b6 A$ M
Purposive sampling, 有目的抽样
2 S! ^# o0 j. ^+ z5 XQR decomposition, QR分解: A8 N# r6 W& O) u5 h6 c
Quadratic approximation, 二次近似
1 d) f! W- a7 p3 x, P6 c% wQualitative classification, 属性分类
$ ~3 I, P3 @- V1 oQualitative method, 定性方法
% P3 ]7 h& A/ R7 O7 w6 QQuantile-quantile plot, 分位数-分位数图/Q-Q图
5 |' n/ u' G6 e" H8 D. d& lQuantitative analysis, 定量分析* C$ i/ n1 y$ u( t+ V) h
Quartile, 四分位数! |. Z0 t6 c8 C
Quick Cluster, 快速聚类
, z5 y2 H1 @/ Q. t+ H; K, }0 fRadix sort, 基数排序( A: J- ~0 K8 C" x
Random allocation, 随机化分组
+ R/ Y, c7 }7 e5 C; l1 F/ JRandom blocks design, 随机区组设计3 t2 D; e2 A3 J" d p$ t- l- R
Random event, 随机事件
( c1 s! t8 x! I8 k4 @Randomization, 随机化
- ]( Q! v7 L. C% O9 qRange, 极差/全距2 \/ I- R. S% G2 \( y& ~
Rank correlation, 等级相关4 e: w" W) u m" a8 d
Rank sum test, 秩和检验: U; e: O3 t1 Y* @
Rank test, 秩检验
/ u$ ~! K3 [7 o( f# sRanked data, 等级资料$ R$ t" W, l4 r' C P- W! j% e
Rate, 比率
4 x. O" U" I: G- d5 LRatio, 比例9 v+ ^- \# Q* e) h* v! u% M
Raw data, 原始资料6 `' z# w, l( z6 _
Raw residual, 原始残差4 @% k3 @9 }% p2 q) b: H9 ~8 K
Rayleigh's test, 雷氏检验% p+ ~& K. v) z2 w5 `* W e5 o/ c
Rayleigh's Z, 雷氏Z值 # x/ o" y7 R1 G
Reciprocal, 倒数# A8 R6 W2 _& c1 Q0 j' b
Reciprocal transformation, 倒数变换" U" p& |( r' a: L* b0 i( Y, J4 l
Recording, 记录
' ?, t8 ?# W! c* O2 G% C9 C7 yRedescending estimators, 回降估计量3 X2 ~( [# e& ^5 r
Reducing dimensions, 降维, P; \$ e6 Z% n" X2 A
Re-expression, 重新表达
, z' u! T! W' N, ~! n" CReference set, 标准组) B0 C! |) V4 ~
Region of acceptance, 接受域; J$ u8 I6 L- _
Regression coefficient, 回归系数4 b$ ?3 N) G" ]. F* i+ u6 k$ G
Regression sum of square, 回归平方和
5 D9 k) J8 `. ~* Y( {Rejection point, 拒绝点
8 u5 ^- j' @0 r. i* x, xRelative dispersion, 相对离散度+ x/ n4 K3 Y3 x! M2 i r
Relative number, 相对数, Z% S% a; H1 ~1 `7 H
Reliability, 可靠性2 R) |+ |' u& w2 ~4 y/ G* a
Reparametrization, 重新设置参数
3 _: J7 z/ V: I. {: M1 XReplication, 重复 t! A/ w! T4 R
Report Summaries, 报告摘要
4 Z6 P7 b% H. G$ \Residual sum of square, 剩余平方和( N) r# v, j" ?6 m
Resistance, 耐抗性
: a. R. i/ A& ]Resistant line, 耐抗线
F$ [0 P6 y' E5 j" M3 wResistant technique, 耐抗技术
# f5 R E+ F- \7 qR-estimator of location, 位置R估计量6 d$ w9 P: X. s
R-estimator of scale, 尺度R估计量5 V) X8 _1 I% z
Retrospective study, 回顾性调查
7 v J0 J6 z& IRidge trace, 岭迹6 z9 l" v7 ^! c: e% L& v+ l1 D
Ridit analysis, Ridit分析9 o4 Z& Q9 j" S8 u7 ~. [
Rotation, 旋转" H6 v4 g5 u0 x7 }9 V9 F: [
Rounding, 舍入
+ y' h- v4 O$ {9 N5 Z& ?Row, 行 q4 R& V, |( v' j" x
Row effects, 行效应
, f, l# x9 o+ p7 oRow factor, 行因素, }; {& R' G* r& f. g5 S
RXC table, RXC表6 h6 E8 C" y6 g" b1 h* ?
Sample, 样本
( k" [% v- u2 F) [* O8 NSample regression coefficient, 样本回归系数! w. X, Z* B% k. `& N: C0 O
Sample size, 样本量3 K1 j2 P5 ~/ ^$ @- \* Y' G. A
Sample standard deviation, 样本标准差1 L. o* c6 Q$ i0 q2 u v" L
Sampling error, 抽样误差
( G# m& `( ^4 O# P# @5 ^2 f) _SAS(Statistical analysis system ), SAS统计软件包
- G' ]4 {% X$ ?% BScale, 尺度/量表, A4 @. E; w6 A6 @" n
Scatter diagram, 散点图
. R$ G) g4 @# w: [Schematic plot, 示意图/简图- t7 k! z% x# e$ _" E2 Z
Score test, 计分检验8 |. W/ {4 y* `! |: f7 b- t/ g6 ^
Screening, 筛检; m; o9 B4 U' c$ n0 L2 e4 v
SEASON, 季节分析
1 c4 j7 F' ?* `( A/ WSecond derivative, 二阶导数
6 w0 ?6 n+ o: U9 ^, [* N' wSecond principal component, 第二主成分
. ~0 ]/ |1 ]% j$ h; e8 o/ f$ oSEM (Structural equation modeling), 结构化方程模型
) E! S8 [# A& [" s/ B/ _* j/ HSemi-logarithmic graph, 半对数图( V3 x% {& p/ a8 u7 c
Semi-logarithmic paper, 半对数格纸
r- `, e1 M+ n7 ]Sensitivity curve, 敏感度曲线
: e- j$ O! j% J; |Sequential analysis, 贯序分析
3 i( Q) I( s. _5 z: eSequential data set, 顺序数据集
" d% j5 z6 ~* w- ]3 G9 gSequential design, 贯序设计
+ x3 v4 x: q& BSequential method, 贯序法
! B* D4 K' P: Z* U: rSequential test, 贯序检验法) a& W; n/ G3 U& O# S) \, }8 x
Serial tests, 系列试验
) u- Q9 o2 i) { W7 W3 ]Short-cut method, 简捷法 ; I- u" ?9 I! X$ T! ~
Sigmoid curve, S形曲线
" a9 u0 Z6 v+ C8 F* c+ n ySign function, 正负号函数% N7 h$ a, b. j5 l. a# `" P
Sign test, 符号检验. {+ p9 J6 C* ~7 M- n) N& T3 H
Signed rank, 符号秩7 d. r3 ^3 b: O3 F# A3 q: V6 D
Significance test, 显著性检验5 Z! l+ A& X9 s8 `" c" z2 _3 K
Significant figure, 有效数字4 |3 Q3 g0 n9 z8 n! l8 o
Simple cluster sampling, 简单整群抽样
5 Y6 K* x7 m6 y! E! bSimple correlation, 简单相关6 c( s# }* b) }) G
Simple random sampling, 简单随机抽样
) t0 G, N! S3 w; w& K5 Y5 ~Simple regression, 简单回归
. f7 f4 t/ b; s$ O2 X" \# qsimple table, 简单表
4 L4 v+ {3 l& FSine estimator, 正弦估计量0 l& L, H$ x# d. R/ p: A J/ O
Single-valued estimate, 单值估计
# R* s1 r9 i+ u( A% G! gSingular matrix, 奇异矩阵8 L( ?% }) _$ i1 o* X
Skewed distribution, 偏斜分布
* |% p: [% m0 }7 u4 VSkewness, 偏度$ O" m' f; F2 P& F$ ` o/ c, P
Slash distribution, 斜线分布! u/ Y4 i, n# b; I1 d
Slope, 斜率- u1 f# l( U9 O5 m4 N w
Smirnov test, 斯米尔诺夫检验$ D- a' k& i0 o2 F C
Source of variation, 变异来源2 ~8 s0 g. Y3 N. ]" B J" l3 q( f
Spearman rank correlation, 斯皮尔曼等级相关 r) b" K4 `' P; o
Specific factor, 特殊因子
- C! M6 t) _, r1 I$ ^3 T6 \! C' pSpecific factor variance, 特殊因子方差
( z/ r1 X- N7 M8 m" |% JSpectra , 频谱
" p1 e$ ^# k9 oSpherical distribution, 球型正态分布( E, o$ T! s1 u8 m
Spread, 展布9 j1 \" y. f Q7 l
SPSS(Statistical package for the social science), SPSS统计软件包
+ E5 e9 s( U8 x5 VSpurious correlation, 假性相关3 p+ |3 d `* b' @
Square root transformation, 平方根变换. b; V- B s4 y
Stabilizing variance, 稳定方差1 r2 Y1 u: p- D% R
Standard deviation, 标准差
* X& z, c5 `( U$ X' WStandard error, 标准误
: }) B% K0 T1 d9 s3 GStandard error of difference, 差别的标准误# U+ V& `0 J) x) j* @) u! `' E! ? \
Standard error of estimate, 标准估计误差
* O/ Y& ~$ _1 i, b7 ~6 q# mStandard error of rate, 率的标准误/ [1 l1 X1 {, W, ~4 S2 w
Standard normal distribution, 标准正态分布
# k+ {: g1 j" u- i* L6 P, kStandardization, 标准化/ F) s+ d/ H2 B& @$ R; ^
Starting value, 起始值
1 |* h P7 l4 P+ N6 UStatistic, 统计量
' f7 A! Y: S2 u$ D m8 dStatistical control, 统计控制
' g, s& x& k8 X. u0 j9 D7 S/ zStatistical graph, 统计图
$ ? R/ w. x% L) X$ q! nStatistical inference, 统计推断
% q" | s) v& {- e$ NStatistical table, 统计表2 u5 x8 x" B3 O! \/ W7 V6 T4 n4 s. u
Steepest descent, 最速下降法5 u9 }7 d% O4 ~" p# _" F
Stem and leaf display, 茎叶图. c% C! \+ e6 ?3 c% `5 `
Step factor, 步长因子
4 M/ d" a% b4 n+ |$ Y( gStepwise regression, 逐步回归
0 M1 p7 u. e# T$ o% fStorage, 存 I& h/ Y; a, Z+ i0 t: b. k
Strata, 层（复数）$ o7 z. j9 f- B0 L _- g+ K
Stratified sampling, 分层抽样4 }3 d% `$ P. w8 J6 _" W
Stratified sampling, 分层抽样
! {0 J! w4 T8 t, |( mStrength, 强度
) N& H- A% V4 m* IStringency, 严密性# t) G0 E1 F% `: e8 w
Structural relationship, 结构关系
2 o( K; Y/ N' I/ x/ v! t0 u; dStudentized residual, 学生化残差/t化残差
0 e* K% H. D( ?; @5 l" H6 h" MSub-class numbers, 次级组含量
2 f3 A. U, u& P5 z& i5 xSubdividing, 分割. ]" X) [7 ?: b1 X
Sufficient statistic, 充分统计量& |- \+ O! V! ?. L! E! W6 K
Sum of products, 积和
4 Z# n1 J# n* L n: b! p$ |Sum of squares, 离差平方和
; O- h9 S/ P) H% wSum of squares about regression, 回归平方和
% [2 I S! A/ \" @2 t/ \0 lSum of squares between groups, 组间平方和
3 f" \( H v3 M- b: ]# }3 A3 PSum of squares of partial regression, 偏回归平方和+ ~$ J: Q0 O8 L' D: G
Sure event, 必然事件0 V" A1 B1 ~6 f/ u( S
Survey, 调查
) o( I! @0 o5 OSurvival, 生存分析
7 F0 F* w& \; j0 @$ O( W ZSurvival rate, 生存率5 L; G( R+ y8 A+ J% j+ ^
Suspended root gram, 悬吊根图
* `. t0 {. l U3 B" |4 g# TSymmetry, 对称
; ^0 K- i. ^5 F+ rSystematic error, 系统误差
* G \: N3 _0 V) P+ s+ KSystematic sampling, 系统抽样3 U5 N7 d- G) a
Tags, 标签2 h4 N8 \" f0 A- M ^' R' v
Tail area, 尾部面积5 r6 Q% D3 U" N
Tail length, 尾长) g/ H8 |# s; b& Z
Tail weight, 尾重! ?5 S6 |& }4 f; W# J# ^
Tangent line, 切线
7 p/ Y6 x, d) Y( eTarget distribution, 目标分布: E6 ^* r7 b+ x
Taylor series, 泰勒级数' P8 Q* G& I8 G" x% _% V
Tendency of dispersion, 离散趋势
1 v& Q2 v- B3 b5 m2 b7 _* F0 N1 {Testing of hypotheses, 假设检验" I. w. P4 m: x3 f: t
Theoretical frequency, 理论频数
: ?4 X' S: x7 w* X iTime series, 时间序列9 Y/ N0 [8 d9 F6 {& }2 i8 ?# C
Tolerance interval, 容忍区间
1 z* t9 O$ q3 X: V& ]: u! H# e' ATolerance lower limit, 容忍下限2 N. a* |* i0 M$ h! C% b
Tolerance upper limit, 容忍上限" X" [; X+ D) f3 i
Torsion, 扰率; ]: c6 d& l# U6 M1 K, K8 m+ H
Total sum of square, 总平方和
( A" R7 A3 c9 p3 ?Total variation, 总变异9 U2 e: C3 \& I/ r' f: K
Transformation, 转换; d+ G) o7 |0 E. [, L! |+ Y+ j$ O
Treatment, 处理# i; T9 U; n( t3 Z) {% _
Trend, 趋势2 G8 ?# W4 p1 L5 S1 B
Trend of percentage, 百分比趋势
5 j2 E9 W. ~" y& E) V5 w: ATrial, 试验
3 R) J1 P$ m. n1 h% O9 gTrial and error method, 试错法
0 G, W. q& v# F3 K0 T. B3 jTuning constant, 细调常数, w1 m- M2 b6 d; @
Two sided test, 双向检验- u+ |7 s5 S6 V; |
Two-stage least squares, 二阶最小平方3 g, j- i8 X# J3 d1 |5 L! l& M: s
Two-stage sampling, 二阶段抽样( H' t# s6 v3 v& H1 \
Two-tailed test, 双侧检验& v; W$ o/ V0 Q
Two-way analysis of variance, 双因素方差分析
5 p/ I; i1 k, N+ UTwo-way table, 双向表
' G S/ U5 r, s6 i% e% LType I error, 一类错误/α错误. E' x% N+ Q( X3 c! a" d
Type II error, 二类错误/β错误
# K6 s5 p7 N5 q# L, c3 ^! _' nUMVU, 方差一致最小无偏估计简称
" D) V' z& u9 ?7 I& q4 m3 kUnbiased estimate, 无偏估计
8 h) `2 n7 S6 s3 \4 RUnconstrained nonlinear regression , 无约束非线性回归& b6 u* z+ u8 K" i
Unequal subclass number, 不等次级组含量8 @6 O- I3 V$ O
Ungrouped data, 不分组资料
* G5 {; h, V1 o$ p7 CUniform coordinate, 均匀坐标4 i; G1 J( K5 N6 D, j. J( y& R
Uniform distribution, 均匀分布
4 S: Z, F! ^1 n, z0 h3 \+ CUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
' A, _; E* K' uUnit, 单元) `" _- r8 z7 A6 ?1 S
Unordered categories, 无序分类% T. C, M7 Q1 l% m
Upper limit, 上限 \7 H) y$ V$ Y9 A. Y
Upward rank, 升秩6 j( X; ^# I& s% ]
Vague concept, 模糊概念
, D$ a$ k$ t" A6 tValidity, 有效性
: g) I3 O& [: W, C! a% B" B+ yVARCOMP (Variance component estimation), 方差元素估计
2 N. Y) J* _6 C' I: } oVariability, 变异性6 j6 `7 s: n- z4 @& P/ s. ^
Variable, 变量' {0 P" X8 ?+ Y
Variance, 方差) I( l$ Y5 p1 L# p3 E
Variation, 变异
1 G0 \& @3 I( _" H9 I" k1 o. i( aVarimax orthogonal rotation, 方差最大正交旋转
2 r4 S7 o0 {8 E4 n) fVolume of distribution, 容积- v" E8 j+ L, K M, y% ?- B
W test, W检验2 z- X8 z6 d- a- k0 j1 u3 k
Weibull distribution, 威布尔分布
2 c! o& H& C" M, O! _% ^9 lWeight, 权数
% S% Y/ z% P- s8 U6 H+ EWeighted Chi-square test, 加权卡方检验/Cochran检验
0 ]( J5 p' i) ~! a" T, }" Y! P9 CWeighted linear regression method, 加权直线回归
( u# n2 v @& E3 g w$ KWeighted mean, 加权平均数
+ V" n) G$ ~1 G& D# {Weighted mean square, 加权平均方差5 x4 \7 A2 k. D
Weighted sum of square, 加权平方和& i6 f- `# p E# ]8 a
Weighting coefficient, 权重系数) w9 N* _" e; }! l* G
Weighting method, 加权法 + K, X; z7 ]7 ?! h
W-estimation, W估计量
6 ~! U2 Q, _' S0 i/ u" OW-estimation of location, 位置W估计量' n1 g! o, ^4 N% y K, f
Width, 宽度, U! \ p6 ~7 \$ T% r0 I
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验/ n5 O4 O, G. ?- I5 a3 {& @4 O
Wild point, 野点/狂点& O, d# V! Y3 g" Z2 @: ~/ G
Wild value, 野值/狂值8 @) B) ?# \ m# ?. ]. p
Winsorized mean, 缩尾均值7 C) V9 ?, c- N" T" ~" u! W+ l' a
Withdraw, 失访
; L. a* D+ k& H2 I( Y1 WYouden's index, 尤登指数8 p/ o2 o4 e# Y" A% [' B6 V5 a" n# W
Z test, Z检验
6 W# Q; V9 q3 v$ FZero correlation, 零相关
) S+ t/ {- N9 O8 a+ WZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
